Markov chain random field kriging for estimating extreme precipitation at unevenly distributed sites-Reference-Cited by-同舟云学术

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Markov chain random field kriging for estimating extreme precipitation at unevenly distributed sites

Published:2023-01 Issue: Volume:616 Page:128591
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Lee Ming-Hsi^ORCID,Chen Yenming J.^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference32 articles.

1. Gridded daily precipitation data for Iran: A comparison of different methods;Bárdossy;J. Hydrol.: Regional Stud.,2021

2. A generative adversarial network approach to (ensemble) weather prediction;Bihlo;Neural Netw.,2021

3. Modeling spatial variability with one and multidimensional continuous-lag markov chains;Carle;Math. Geol.,1997

4. Central weather bureau rainfall;CWB,2021

5. Identifying spatial correlation structure of multimodal permeability in hierarchical media with Markov chain approach;Dai;J. Hydrol.,2019

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